[taklaxbr]

Thanks for the kind words regarding the self-healing logic!

To answer your question about v6/Phi-2: It uses a session-based RAM residency approach rather than a background daemon or per-request loading.

When you toggle the offline mode (or if it starts in that mode), the OfflineModelManager class loads the weights into memory once. Since the shell runs in a continuous while True loop, the model stays 'hot' in RAM for the duration of that session.

This eliminates the cold-start latency for every error correction, making the 'self-healing' feel instantaneous. The trade-off is, of course, the sustained RAM usage while the shell is open, but I found this preferable to waiting 10+ seconds for a re-load on every command failure.

[charlesding2024]

That makes total sense. In a shell environment, breaking the flow for 10+ seconds would definitely be more painful than the memory overhead. The 'instant' feel is crucial for UX here. Thanks for the detailed explanation!

[taklaxbr]

Thanks, glad it resonates. For interactive tools like shells, I think perceived latency matters more than raw resource efficiency. Once the flow breaks, UX is already lost — a few extra MBs are a small price for that instant feel.